Codepet Server
БесплатноНе проверенA local MCP server that captures coding context, tracks developer sessions, and powers daily insights.
Описание
A local MCP server that captures coding context, tracks developer sessions, and powers daily insights.
README
A local MCP server that captures coding context, tracks developer sessions, and powers daily insights. Compatible with Claude Code, Cursor, VS Code, Windsurf, and any MCP-compliant client.
Built by MURROR.
Quick Start
1. Install
cd codepet-mcp-server
npm install
npm run build
2. Connect to Your Editor
Claude Code — add to ~/.claude/claude_desktop_config.json:
{
"mcpServers": {
"codepet": {
"command": "node",
"args": ["/full/path/to/codepet-mcp-server/dist/index.js"]
}
}
}
Cursor — add to .cursor/mcp.json in your project root:
{
"servers": {
"codepet": {
"command": "node",
"args": ["/full/path/to/codepet-mcp-server/dist/index.js"]
}
}
}
VS Code / Windsurf — add to .vscode/mcp.json in your project root:
{
"servers": {
"codepet": {
"command": "node",
"args": ["/full/path/to/codepet-mcp-server/dist/index.js"]
}
}
}
Replace /full/path/to/ with the actual path on your machine.
3. Verify It Works
Once connected, ask your AI assistant:
"Scan my project and tell me what I'm working with"
If Codepet responds with your project structure, languages, and dependencies — you're all set.
4. Test with Inspector (Optional)
npm run inspect
Opens the MCP Inspector — a browser-based UI to test all tools and resources interactively.
Features Overview
| What | How |
|---|---|
| Scan your project structure | Ask AI: "What am I working with?" |
| See recent git activity | Ask AI: "What did I commit today?" |
| Check for build errors | Ask AI: "Are there any compiler errors?" |
| Read any file with metadata | Ask AI: "Show me src/index.ts" |
| Track skill progress | Ask AI: "How are my skills progressing?" |
| Generate daily summary | Ask AI: "Generate my daily coding summary" |
Phase 1 — Context Capture
Tools
| Tool | Description |
|---|---|
scan_project |
Detect languages, frameworks, structure, and dependencies |
get_git_context |
Recent commits, diffs, branch info, activity patterns |
get_diagnostics |
Compiler errors, lint warnings, error→fix tracking |
Resources
| URI | Description |
|---|---|
codepet://project/summary |
Cached project fingerprint |
codepet://user/profile |
Pet name, level, streak, skills |
codepet://missions/active |
Contextual learning missions |
Phase 2 — Learning & Skill Mapping
Tools
| Tool | Description |
|---|---|
get_file_content |
Read file with language detection, line ranges, and metadata |
get_learning_context |
Aggregated learning progress: error patterns, streaks, skill tree XP, recommendations |
Resources
| URI | Description |
|---|---|
codepet://skills/progress |
Skill tree progress mapped from coding activity (16 skills, 4 kingdoms) |
Skill Tree Mapping
Coding activity is automatically mapped to Codepet's 16 skills across 4 kingdoms:
| Kingdom | Tier | Skills |
|---|---|---|
| The Molten Forge | 1 — Foundations | Prompt Clarity, Error Reading, Tool Basics, Code Judgment |
| The Frozen Spire | 2 — Context & Structure | Context Setting, AI Rules Files, Documentation, Project Structure |
| The Eternal Garden | 3 — Advanced | Tool Switching, Scope Mgmt, Design System, Prompt Iteration |
| The Mystic Grove | 4 — Expert | User Personas, Context Windows, AI Architecture, Second Brain |
Each skill has 5 levels. XP is earned automatically based on what you do — reading files, fixing errors, exploring projects, and using different tools all contribute to different skills.
Phase 3 — Daily Summaries + macOS App Integration
Tools
| Tool | Description |
|---|---|
generate_daily_summary |
LLM-powered daily summary with stats, narrative, and in-character pet reaction |
Resources
| URI | Description |
|---|---|
codepet://summary/today |
Today's daily summary (call generate_daily_summary to create) |
macOS App Integration
The Codepet macOS app reads ~/.codepet/ data via MCPBridgeService.swift:
- Polls every 30s for new events, summaries, and skill progress
- Merges real coding XP into the app's progression system (with double-count prevention)
- Updates pet mood and energy based on daily coding activity
- Available as
@EnvironmentObjectthroughout the SwiftUI view hierarchy
Session Logger
Every tool call is automatically logged to ~/.codepet/ as JSON files, organized by date. This data powers daily summaries and skill tracking.
Setup
cd codepet-mcp-server
npm install
npm run build
Add to Claude Code
// ~/.claude/claude_desktop_config.json
{
"mcpServers": {
"codepet": {
"command": "node",
"args": ["/path/to/codepet-mcp-server/dist/index.js"]
}
}
}
Add to Cursor / VS Code
// .cursor/mcp.json or .vscode/mcp.json
{
"servers": {
"codepet": {
"command": "node",
"args": ["/path/to/codepet-mcp-server/dist/index.js"]
}
}
}
Usage
Once connected, the AI client can call tools naturally:
"Scan my project and tell me what I'm working with" → calls
scan_project
"What did I commit today?" → calls
get_git_context
"Are there any build errors?" → calls
get_diagnostics
"Show me the contents of src/index.ts" → calls
get_file_content
"How am I progressing on my skills?" → calls
get_learning_context
Data Storage
All data is stored locally in ~/.codepet/:
~/.codepet/
├── events/
│ └── 2026-04-07.json # Today's tool call events
├── summaries/
│ └── 2026-04-07.json # Generated daily summaries
└── profile.json # User profile + cached project data
Roadmap
Phase 1:✅scan_project,get_git_context,get_diagnosticstools + resourcesPhase 2:✅get_file_content,get_learning_contexttools + skill tree mappingPhase 3: Daily summary generation (LLM-powered), Codepet macOS app integration✅- Future: SQLite backend (better-sqlite3), real-time file watching, pet evolution
Troubleshooting
"Server not found" or tools don't appear: Make sure you ran npm run build and the path in your config points to dist/index.js (not src/index.ts). The path must be absolute.
No data in ~/.codepet/: The server only writes data when tools are called. Ask your AI to run scan_project or get_git_context to generate the first events.
Daily summary is empty: Run generate_daily_summary — it creates the summary on demand. It needs at least a few tool calls logged in today's events file to produce meaningful output.
macOS app doesn't show MCP data: The macOS app polls ~/.codepet/ every 30 seconds. Make sure the MCP server has been used at least once today so event files exist. Check the Xcode console for [MCPBridge] log messages.
Permission errors on ~/.codepet/: The server creates this directory automatically. If it fails, create it manually: mkdir -p ~/.codepet/events ~/.codepet/summaries
License
MIT — see the root LICENSE file.
Установка Codepet Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/My-Outcasts/codepet-mcp-serverFAQ
Codepet Server MCP бесплатный?
Да, Codepet Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Codepet Server?
Нет, Codepet Server работает без API-ключей и переменных окружения.
Codepet Server — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Codepet Server в Claude Desktop, Claude Code или Cursor?
Открой Codepet Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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